Evidence map›Paper›PMID 32616892›Full record

ArticleScientific reports2020

Disease-related cellular protein networks differentially affected under different EGFR mutations in lung adenocarcinoma.

Toshihide Nishimura, Haruhiko Nakamura, Ayako Yachie, Takeshi Hase, Kiyonaga Fujii, Hirotaka Koizumi, Saeko Naruki, Masayuki Takagi, Yukiko Matsuoka, Naoki Furuya and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Toshihide Nishimura *Department of Translational Medicine Informatics, St. Marianna University School of Medicine, Kawasaki, Kanagawa, 216-8511, Japan. t-nisimura@marianna-u.ac.jp.
Haruhiko Nakamura *Department of Translational Medicine Informatics, St. Marianna University School of Medicine, Kawasaki, Kanagawa, 216-8511, Japan.
Ayako Yachie *The Systems Biology Institute, Tokyo, 141-0022, Japan.
Takeshi Hase *The Systems Biology Institute, Tokyo, 141-0022, Japan.
Kiyonaga Fujii *Department of Translational Medicine Informatics, St. Marianna University School of Medicine, Kawasaki, Kanagawa, 216-8511, Japan.
Hirotaka KoizumiDepartment of Pathology, St. Marianna University Hospital, Kawasaki, Kanagawa, 216-8511, Japan.
Saeko NarukiDepartment of Pathology, St. Marianna University Hospital, Kawasaki, Kanagawa, 216-8511, Japan.
Masayuki TakagiDepartment of Pathology, St. Marianna University Hospital, Kawasaki, Kanagawa, 216-8511, Japan.
Yukiko MatsuokaThe Systems Biology Institute, Tokyo, 141-0022, Japan.
Naoki FuruyaDivision of Respiratory Medicine, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki, Kanagawa, 216-8511, Japan.
Harubumi KatoTokyo Medical University, Tokyo, 160-0023, Japan.
Hisashi SajiDepartment of Chest Surgery, St. Marianna University School of Medicine, Kawasaki, Kanagawa, 216-8511, Japan.
St. Marianna University School of Medicine · JPSystems Biology Institute · JPTokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is unclear how epidermal growth factor receptor EGFR major driver mutations (L858R or Ex19del) affect downstream molecular networks and pathways. This study aimed to provide information on the influences of these mutations. The study assessed 36 protein expression profiles of lung adenocarcinoma (Ex19del, nine; L858R, nine; no Ex19del/L858R, 18). Weighted gene co-expression network analysis together with analysis of variance-based screening identified 13 co-expressed modules and their eigen proteins. Pathway enrichment analysis for the Ex19del mutation demonstrated involvement of SUMOylation, epithelial and mesenchymal transition, ERK/mitogen-activated protein kinase signalling via phosphorylation and Hippo signalling. Additionally, analysis for the L858R mutation identified various pathways related to cancer cell survival and death. With regard to the Ex19del mutation, ROCK, RPS6KA1, ARF1, IL2RA and several ErbB pathways were upregulated, whereas AURK and GSKIP were downregulated. With regard to the L858R mutation, RB1, TSC22D3 and DOCK1 were downregulated, whereas various networks, including VEGFA, were moderately upregulated. In all mutation types, CD80/CD86 (B7), MHC, CIITA and IFGN were activated, whereas CD37 and SAFB were inhibited. Costimulatory immune-checkpoint pathways by B7/CD28 were mainly activated, whereas those by PD-1/PD-L1 were inhibited. Our findings may help identify potential therapeutic targets and develop therapeutic strategies to improve patient outcomes.

Indexed as

Gene Expression Regulation, NeoplasticGenes, erbB-1Mutation, MissensePoint MutationAdenocarcinoma of LungAdultAgedAged, 80 and overDatasets as TopicErbB ReceptorsFemaleGene Regulatory NetworksHumansLung NeoplasmsMaleMiddle AgedEGFR protein, humanErbB ReceptorsNeoplasm ProteinsProteome

Identifiers

PMID32616892
PMCPMC7331587
OpenAlexW3040063576

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.